The application relates to the technical field of clinical
medicine, and particularly discloses a
lower limb nerve detection method and device in artificial
total hip arthroplasty. The method comprises the following steps: acquiring performance state data of a
lower limb nerve detection device, monitoring intraoperative environment data of artificial
total hip arthroplasty, comprehensively analyzing to obtain a nerve detection accuracy evaluation value;
recording electrode pair waveform data, comprehensively analyzing to obtain an
electrode pair waveform
abnormality evaluation value; correcting a parameter according to the waveform
abnormality evaluation to obtain a waveform
abnormality evaluation threshold value, and performing abnormality feedback. The application provides a
lower limb nerve detection method and device in artificial
total hip arthroplasty, which can help doctors to identify the existence and degree of
nerve injury, help to distinguish different types of
nerve injury, and thus formulate a targeted treatment scheme, can accurately locate the
nerve injury, and can also monitor the
recovery progress of the
nerve function, help to timely adjust the treatment scheme, and improve the
treatment effect.